The Franklin Electric INCON distribution transformer monitor (DTM) has been updated to include new transformer life prediction functionality. The update uses predictive algorithms to estimate transformers’ remaining lifespans, aiding service and maintenance forecasting and streamlining operations.

The DTM now includes Ethernet connectivity, supporting DNP3 and MODBUS protocols for flexible network integration. “It offers continuous, meter-grade precision performance monitoring for high-value, mission-critical, low-voltage pad mount and conventional pole-mount transformers,” says COMTEST, local representative of Franklin Electric’s grid solutions.

The enhanced DTM monitors and trends transformer output voltage, loading by phase, temperature and power factor, providing utilities with vital information on power distribution and equipment maintenance. The device tracks a transformer’s loss of life and uses advanced predictive algorithms to forecast its remaining runtime. This continuous assessment considers real-time conditions and applies a dynamic acceleration factor for accurate prediction.

Key features include:

• State-of-health monitoring providing remote access to real-time transformer health data and automated threshold alarms.
• Life prediction continuously monitoring temperature and load to assess transformer health and predict cumulative loss of life.
• Power factor monitoring to ensure efficient power distribution and high-quality delivery during peak times for utilities.
• High-performance hardware featuring an industrial IoT-grade processor and a sophisticated polyphase energy measurement integrated circuit for superior onboard computation and power quality monitor-level fidelity.
• Scalable deployment built-in Cat M1/NB2 cellular modem enabling communication via cellular networks and allowing deployment from a single unit to thousands.

The Converge web interface allows utilities to manage exceptions with customised threshold alarms and notifications such as voltage and current signal delta, fault current, voltage sag and swell, K-factor harmonics, top/bottom tank temperature, temperature delta as well as winding hot-spot load ratio and temperature and winding load.

The DTM continuously assesses transformer loading and thermal conditions, updating the accumulated loss of life in real time approximately every two seconds. After each interval, the DTM adjusts the loss-of-life calculation using an acceleration factor based on loading and thermal conditions.

Using a secure MQTT communication protocol, the DTM connects with the web-based Unite asset management database. This platform provides advanced data visualisation tools and centralised access to transformer performance data, facilitating convenient analysis and reporting.

Compatible with any distribution transformer with a secondary output of 480 volts or less, the DTM includes four split-core Rogowski coils to measure load current and five voltage leads for phase measurements. Two magnetically mounted RTD sensors measure the top and bottom transformer temperature. The device’s integrated magnets allow for easy installation without drilling or adhesives and configuration can be done via the web interface locally or remotely.